The p value is NOT a probability but a likelihood. It tells you the likelihood that the coefficient of a variable in regression is non zero.
The p-value is: The probability of observing the calculated value of the test statistic if the null hypothesis is true
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Regression analysis is a statistical technique to measure the degree of linear agreement in variations between two or more variables.
Regression analysis describes the relationship between two or more variables. The measure of the explanatory power of the regression model is R2 (i.e. coefficient of determination).
There is no difference between value analysis and value engineering. Both are names applied to the same formal analytical process developed at General Electric in 1947 by Larry Miles. It was originally called value analysis, and has come to be called by several names as time has passed (value analysis, value engineering, value management, the value methodology). The term "Value Engineering" is also often mis-used to refer to any exercise to reduce cost. Don Stafford, VP-Education, SAVE International
What is the major advantage of using C-V-P graphs?